"Method for extracting buildings of interest from 3D laser point cloud data" won national invention patent
The “Method of Extracting Buildings of Interest from 3D Laser Point Cloud Data†applied by the Department of Earth Observation Technology Application Research of the Institute of Optoelectronics, Chinese Academy of Sciences has obtained the national invention patent authorization. Research results. This patent aims at the characteristics of high accuracy of lidar point cloud data measurement and can directly provide the three-dimensional coordinates of the target. Based on the filtered point cloud data of the building, the target segmentation and edge point extraction of the three-dimensional point cloud data organized by the kd tree are directly performed. , Regularization of edges, and provide extracted building feature information for users to quickly find interested objects.
The detection, extraction and reconstruction of buildings is one of the main research topics in the fields of photogrammetry and remote sensing. Although photogrammetry is still an effective method for extracting large-scale urban buildings, there are still many difficulties in image-based extraction, which makes the detection of buildings quite complicated. Laser detection and ranging (LiDAR) technology has the characteristics of quickly and accurately obtaining the information of the surface of the object reached by the laser, and can directly obtain the height information of the object, which provides an ideal data source for building reconstruction. However, most of the existing LiDAR point cloud processing algorithms are used for quality control and manual operations in practice, and occupy a considerable proportion of the entire data processing time. Therefore, it is of great research value to design automatic, efficient, and robust LiDAR point cloud-based building classification and extraction algorithms.
The building extraction method provided by this patent does not have point cloud interpolation errors and is not affected by the size or shape of the building. It can still maintain a faster processing speed when processing large-scale point clouds. If there is zonal overlap in the data Or the situation of a large number of side points is still applicable. Buildings can be automatically and efficiently extracted from the 3D laser point cloud data, which is convenient for users to quickly find the target of interest and prepare for the subsequent building reconstruction.
The inventors of this patent are Li Chuanrong, Zhou Mei, Su Guozhong, Li Jingmei, Tang Lingli and Xia Bing. At present, this patent achievement has been applied to many scientific research projects.
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